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Proceedings Paper

Distributed fiber-optic sensor for real-time monitoring of energized transformer cores
Author(s): Ping Lu; Kevin Byerly; Michael Buric; Paul Zandhuis; Chenhu Sun; A. Leary; R. Beddingfield; M. E. McHenry; Paul R. Ohodnicki
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Paper Abstract

Real-time temperature mapping is important to offer an optimized thermal design of efficient power transformers by solving local overheating problems. In addition, internal temperature monitoring of power transformers in operation can be leveraged for asset monitoring applications targeted at fault detection to enable condition based maintenance programs. However transformers present a variety of challenging environments such as high levels of electromagnetic interference and limited space for conventional sensing systems to operate. Immersion of some power transformers within insulation oils for thermal management during operation and the presence of relatively large and time varying electrical and magnetic fields in some cases also make sensing and measurement technologies that require electrical wires or active power at the sensing location highly undesirable. In this work, we investigate the dynamic thermal response of standard single-mode optical fiber instrumented on a compact transformer core by using an optical frequency-domain reflectometry scheme, and the spatially resolved on-line monitoring of transformer core temperature rise has been successfully demonstrated. It is found that spectral shifts of the fiber-optic sensor induced by the temperature rises are strongly related to the locations inside the transformer as would be expected. Correlation between thermal behavior of the transformer core as derived from standard IR-based thermal imaging cameras and fiber-optic sensing results is also discussed. The proposed method can easily be extended to cover situations in which high accuracy and high spatial resolution thermal surveillance are required, and offers the potential for unprecedented optimization of magnetic core designs for power transformer applications as well as a novel approach to power transformer asset monitoring.

Paper Details

Date Published: 18 May 2017
PDF: 13 pages
Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101941S (18 May 2017); doi: 10.1117/12.2263387
Show Author Affiliations
Ping Lu, AECOM (United States)
National Energy Technology Lab. (United States)
Kevin Byerly, AECOM (United States)
National Energy Technology Lab. (United States)
Michael Buric, National Energy Technology Lab. (United States)
Paul Zandhuis, AECOM (United States)
National Energy Technology Lab. (United States)
Chenhu Sun, Oak Ridge Institute for Science and Education (United States)
National Energy Technology Lab. (United States)
A. Leary, Carnegie Mellon Univ. (United States)
R. Beddingfield, National Energy Technology Lab. (United States)
Carnegie Mellon Univ. (United States)
Oak Ridge Institute for Science and Education (United States)
M. E. McHenry, Carnegie Mellon Univ. (United States)
Paul R. Ohodnicki, National Energy Technology Lab. (United States)
Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 10194:
Micro- and Nanotechnology Sensors, Systems, and Applications IX
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

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